Transcription of Fake News Detection - IJARIIT
{{id}} {{{paragraph}}}
Gahirwal Manisha et. al; International Journal of Advance Research, Ideas and Innovations in Technology 2018, All Rights Reserved Page |817 ISSN: 2454-132X Impact factor: (Volume 4, Issue 1) Available online at: fake news Detection Manisha Gahirwal Vivekanand Education Society's Institute of Technology, Mumbai, Maharashtra Sanjana Moghe Vivekanand Education Society's Institute of Technology, Mumbai, Maharashtra Tanvi Kulkarni Vivekanand Education Society's Institute of Technology, Mumbai, Maharashtra Devansh Khakhar Vivekanand Education Society's Institute of Technology, Mumbai, Maharashtra Jayesh Bhatia Vivekanand Education Society's Institute of Technology, Mumbai, Maharashtra ABSTRACT fake news , one of the biggest new-age problems has the potential to mould opinions and influence deci
the generation and circulation of fake news many folds. Fake news can be simply explained as a piece of article which is usually written for economic, personal or political gains. Detection of such bogus news articles is possible by using various NLP techniques, Machine learning, and …
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
{{id}} {{{paragraph}}}